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math.OC2024
Learning the subspace of variation for global optimization of functions with low effective dimension
Coralia Cartis, Xinzhu Liang, Estelle Massart +1
We propose an algorithmic framework, that employs active subspace techniques, for scalable global optimization of functions with low effective dimension (also referred to as low-ra…
math.OC2016
Optimal Design of Helical Springs of Power Law Materials
Dongming Wei, Marios Fyrillas, Adilet Otemissov +1
In this paper the geometric dimensions of a compressive helical spring made of power law materials are optimized to reduce the amount of material. The mechanical constraints are de…